C38 - Multiple or Simultaneous Equation Models: Classification Methods; Cluster Analysis; Principal Components; Factor ModelsNávrat zpět

As a result of constant changes in a business environment, companies are confronted with a significant number of risks. Such development is supposed to bring higher risk management requirements. Demands on systematic risk management framework creation are also newly included in revised ISO 9001:2016 standard. Under these conditions, companies should pay sufficient attention to risk management methods. The aim of the paper is to focus on risk management methods and their possible evaluation. Particular views on existing evaluation or classification of methods available from resources focused on the issue of the risk management methods are described and possibilities for further categorization of methods are outlined. In the paper an attempt to examine approaches to risk management and methods in a real business environment through a questioning. Due to a smaller number of respondents the questioning is used as a complementary to the overview of methods and approaches and to provide a starting point for a further research.

Demographic development of the world population suggests the continual shift toward the population ageing. This effect may be clearly seen in developed countries of the European Union. The aim of the article is to analyze basic demographic and economic characteristics of the European Union as a whole and also of individual member states. We try to find similar and different characteristics of groups of member countries based on cluster analysis and basic demographic and economic indicators. We come to conclusion that old member states (those that accessed the EU before 2004) and new member states (those that accessed the EU after 2004) show different development of basic demographic indicators which suggests that convergence between these two groups is not likely to happen in the near future.

The authors of the paper present an approach for datamining methods combination (method for association rules extraction and clustering method are combined) which is used for synthetic social networks construction which afterwards represents potentially interesting relations in analyzed data. Described approach is feasible for general data, principles of described approach, examples and experiments are illustrated on a part of unique database, which contain data about terroristic attack committed on all over the World (Global Terrorism Database). Thus this paper also extend framework of papers focused on analysis of this unique database.

V letech 2001 - 2010 jsme na základě spolupráce s krasobruslařskými oddíly Moravskoslezského kraje a Českým krasobruslařským svazem posuzovali výkony mladých krasobruslařů v testové baterii, která byla zaměřena na projevy výbušné síly dolních končetin. Celkově absolvovalo testování na 280 probandů ve věku 6 - 19 let. Naše výsledky jsme zpracovali analytickými metodami, které spadají pod metodologii nazývanou Dobývání znalostí z dat (angl. Data Mining) jež nám mohou naznačit některé skryté vztahy mezi sledovanými proměnnými a případně potvrdit či vyvrátit předpokládané kauzální vztahy.